• DocumentCode
    2395275
  • Title

    Adaptive and Probabilistic Power Control Algorithms for Dense RFID Reader Network

  • Author

    Cha, Kyoungrae ; Ramachandran, Aditi ; Jagannathan, Sarangapani

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Missouri-Rolla Univ., Rolla, MO
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    474
  • Lastpage
    479
  • Abstract
    In radio frequency identification (RFID) systems, the detection range and read rates may suffer from interferences between high power devices such as readers. In dense networks, this problem grows severely and degrades system performance. In this paper, we investigate feasible power control schemes to ensure overall coverage area of the system while maintaining a desired data rate. The power control should dynamically adjust the output power of a RFID reader by adapting to the noise level seen during tag reading and acceptable signal-to-noise ratio (SNR). We present a novel distributed adaptive power control (DAPC) and probabilistic power control (PPC) as two possible solutions. This paper discusses the methodology and implementation of both algorithms analytically. Both DAPC and PPC scheme are simulated, compared and discussed for further work
  • Keywords
    adaptive control; distributed control; power control; radiofrequency identification; radiofrequency interference; telecommunication control; SNR; dense RFID reader network; detection range; distributed adaptive power control; probabilistic power control algorithms; radio frequency identification systems; read rates; signal-to-noise ratio; Adaptive control; Degradation; Noise level; Power control; Power generation; Programmable control; Radiofrequency identification; Radiofrequency interference; Signal to noise ratio; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control, 2006. ICNSC '06. Proceedings of the 2006 IEEE International Conference on
  • Conference_Location
    Ft. Lauderdale, FL
  • Print_ISBN
    1-4244-0065-1
  • Type

    conf

  • DOI
    10.1109/ICNSC.2006.1673192
  • Filename
    1673192